Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Dorothy Monekosso"'
Publikováno v:
IEEE Access, Vol 10, Pp 3949-3961 (2022)
Principal Component Analysis (PCA) has been successfully applied to many applications, including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal Component Analysis (2D-WMBPCA) ear recognition method, inspired by PCA based
Externí odkaz:
https://doaj.org/article/a53a3c567415417cb899284977881c39
Publikováno v:
Applied Sciences, Vol 12, Iss 4, p 2033 (2022)
This paper introduces the Chainlet-based Ear Recognition algorithm using Multi-Banding and Support Vector Machine (CERMB-SVM). The proposed technique splits the gray input image into several bands based on the intensity of its pixels, similar to a hy
Externí odkaz:
https://doaj.org/article/27b58c29a073473b867ae00e0773e89e
Publikováno v:
Sensors, Vol 15, Iss 7, Pp 17209-17231 (2015)
Multi-view action recognition has gained a great interest in video surveillance, human computer interaction, and multimedia retrieval, where multiple cameras of different types are deployed to provide a complementary field of views. Fusion of multipl
Externí odkaz:
https://doaj.org/article/1238a763a25d4ef9b3ae86408c2c4a27
Publikováno v:
Multimedia Tools and Applications. 82:2077-2099
Principal Component Analysis (PCA) has been successfully applied to many applications, including ear recognition. This paper presents a Two Dimensional Multi-Band PCA (2D-MBPCA) method, inspired by PCA based techniques for multispectral and hyperspec
Publikováno v:
IEEE Access, Vol 10, Pp 3949-3961 (2022)
Principal Component Analysis (PCA) has been successfully applied to many applications, including ear recognition. This paper presents a 2D Wavelet based Multi-Band Principal Component Analysis (2D-WMBPCA) ear recognition method, inspired by PCA based
Autor:
Vanesa Herrera, Ana Reyes-Guzmán, David Vallejo, José Castro-Schez, Dorothy Monekosso, Carlos González-Morcillo, Javier Albusac
Publikováno v:
Proceedings of the 25th International Conference on Enterprise Information Systems.
Publikováno v:
IEEE Access
IEEE Access, Vol 8, Pp 91424-91434 (2020)
IEEE Access, Vol 8, Pp 91424-91434 (2020)
Physical rehabilitation aims at improving the functional ability and quality of life of patients affected by physical impairments or disabilities. Neurological diseases represent the largest cause of disability worldwide. For many, there is no cure a
Publikováno v:
Applied sciences, 2022, Vol.12(4), pp.2033 [Peer Reviewed Journal]
Applied Sciences; Volume 12; Issue 4; Pages: 2033
Applied Sciences; Volume 12; Issue 4; Pages: 2033
This paper introduces the Chainlet-based Ear Recognition algorithm using Multi-Banding and Support Vector Machine (CERMB-SVM). The proposed technique splits the gray input image into several bands based on the intensity of its pixels, similar to a hy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47e961f98502dc13d1dcf14cfba64248
http://dro.dur.ac.uk/36394/
http://dro.dur.ac.uk/36394/
Autor:
Javier Albusac, Cristian Gmez-Portes, David Vallejo, Jose Jesus Castro-Schez, Dorothy Monekosso
Publikováno v:
Mathematics, Vol 9, Iss 1427, p 1427 (2021)
Mathematics
Volume 9
Issue 12
Mathematics
Volume 9
Issue 12
Stroke is among the top 10 leading causes of death and disability around the world. Patients who suffer from this disease usually perform physical exercises at home to improve their condition. These exercises are recommended by therapists based on th
Publikováno v:
Internet of Things, Infrastructures and Mobile Applications ISBN: 9783030499310
IMCL
IMCL
In the last decade, the Internet of Things (IoT) technology has attracted lots of attention. This paper evaluates the impact of three different IoT technologies represented in three types of wearables; Smart Glasses, Tracking Devices, and Crowd and S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cd1fbd1561363d438b14619d6d0bc0e
https://eprints.leedsbeckett.ac.uk/id/eprint/7268/1/ThreeIoTWearablesInSixEuropeanCitiesAM-MONEKOSSO.pdf
https://eprints.leedsbeckett.ac.uk/id/eprint/7268/1/ThreeIoTWearablesInSixEuropeanCitiesAM-MONEKOSSO.pdf